AI predicts tough intubations: no more guesswork?
NCT ID NCT06453525
First seen Apr 11, 2026 · Last updated May 15, 2026 · Updated 1 time
Summary
This study aims to create a portable, radiation-free software that uses facial recognition and neck movement analysis to predict how difficult it will be to place a breathing tube during anesthesia. Researchers will test the software on 1,800 adults undergoing planned surgery. The goal is to give anesthesiologists a reliable, objective tool to assess airway risk.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ANESTHESIA are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
University Hospital Lausanne CHUV
RECRUITINGLausanne, 1011, Switzerland
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.